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Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis.

, , , , , и . Medical Image Anal., (октября 2023)

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Huili Shi

Lei Shi

Zhanjun Shi

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Renhu Shi

 

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Simple Unsupervised Graph Representation Learning., , , , и . AAAI, стр. 7797-7805. AAAI Press, (2022)Are Diffusion Models Vulnerable to Membership Inference Attacks?, , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 8717-8730. PMLR, (2023)Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing., , , , и . Int. J. Comput. Vis., 128 (8): 2307-2324 (2020)Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration., , , , , , и . NeurIPS, (2023)Deep Hashing and Its Application for Histopathology Image Analysis., и . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)A Scalable Optimization Mechanism for Pairwise based Discrete Hashing., , , , , и . CoRR, (2018)Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering., , , , , , и . IEEE Trans. Image Process., (2023)Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images., , , , , , , , , и . IEEE Trans. Medical Imaging, 44 (6): 2631-2642 (июня 2025)Disentangled Multiplex Graph Representation Learning., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 24983-25005. PMLR, (2023)A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets., , , , , , , , , и . MICCAI (5), том 12265 из Lecture Notes in Computer Science, стр. 320-329. Springer, (2020)